Wei Bai

1.5k citations
54 papers · 911 · h-index 13

Impact in

    • Cancer, Hypoxia, and Metabolism
  • Oncology top 10%
    • Colorectal Cancer Treatments and Studies
    • Cancer Treatment and Pharmacology
    • Cancer Cells and Metastasis

Papers in

    • Colorectal Cancer Treatments and Studies 3
    • Systemic Lupus Erythematosus Research 11

Wei Bai

44 papers receiving 878 citations

Peers

Wei Bai
Comparison fields: 5 of 90
  • Cancer Research 216
  • Oncology 363
  • Hepatology 95
  • Rheumatology 90
  • Pulmonary and Respiratory Medicine 191
Replace Moubin Lin with:
Moubin Lin China
Meili Sun China
Claire Smith United States
Mikinori Sato Japan
Peng Du China
Shanglei Ning China
Ghil Suk Yoon South Korea
Debashish Bose United States
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Wei Bai relative to Moubin Lin China Moubin Lin's profile →
Citations per field
00.5×3.6×
Moubin Lin · 1×
Citations per year

Countries citing papers authored by Wei Bai

Since Specialization
Citations

This map shows the geographic impact of Wei Bai's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Wei Bai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei Bai more than expected).

Fields of papers citing papers by Wei Bai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wei Bai. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Wei Bai. The network helps show where Wei Bai may publish in the future.

Co-authors

The 25 scholars most cited alongside Wei Bai, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Wei Bai Line = papers co-authored together Wei Bai links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005305
2 2004228
3 200756
4 201642
5 201437
6 201835
7 202017
8 201116
9 202114
10 201513
11 202312
12 200512
13 202212
14 202310
15 20149
16 20149
17 20208
18 20197
19 20236
20 20216

About Wei Bai

Wei Bai is a scholar working on Oncology, Rheumatology, Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Molecular Biology, having authored 54 papers that have together received 911 indexed citations. Recurring topics across this work include Systemic Lupus Erythematosus Research (11 papers), Lymphoma Diagnosis and Treatment (5 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), Gastric Cancer Management and Outcomes (5 papers), Cardiac Imaging and Diagnostics (4 papers), Renal Diseases and Glomerulopathies (4 papers), Colorectal Cancer Treatments and Studies (3 papers) and Systemic Sclerosis and Related Diseases (3 papers). The work is most often cited by research in Cancer Research (216 citations), Oncology (363 citations), Hepatology (95 citations), Rheumatology (90 citations) and Pulmonary and Respiratory Medicine (191 citations). Wei Bai has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Gretchen Frantz, Herbert I. Hurwitz, Scott N. Holden, Hartmut Koeppen, William Novotny, Adrian M. Jubb, Fairooz F. Kabbinavar, Kenneth J. Hillan, Eric Holmgren and Germaine Fuh. Their work appears in journals such as Arthritis Research & Therapy, Frontiers in Immunology, Lupus, Autoimmunity Reviews and Frontiers in Psychology.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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